R Caret 대안
99개의 무료 및 유료 대안을 R Caret에 대한 목록으로 정리했습니다. 주요 경쟁 업체는 Actian, prevision.io입니다. 이 외에도 사용자들은 R Caret와 H2O.ai, ML.NET, datarobot 간에 비교를 하기도 합니다. 또한 여기서 다른 유사한 옵션을 살펴볼 수 있습니다: About.
9개의 무료 및 유료 대안을 R Caret에 대한 목록으로 정리했습니다. 주요 경쟁 업체는 Actian, prevision.io입니다. 이 외에도 사용자들은 R Caret와 H2O.ai, ML.NET, datarobot 간에 비교를 하기도 합니다. 또한 여기서 다른 유사한 옵션을 살펴볼 수 있습니다: About.
The caret package (short for _C_lassification _A_nd _RE_gression _T_raining) is a set of functions that attempt to streamline the process for creating predictive models. The package contains tools for:
data splitting
pre-processing
feature selection
model tuning using resampling
variable importance estimation
as well as other functionality.
There are many different modeling functions in R. Some have different syntax for model training and/or prediction. The package started off as a way to provide a uniform interface the functions themselves, as well as a way to standardize common tasks (such parameter tuning and variable importance).
The current release version can be found on CRAN and the project is hosted on github.
Some resources:
The book Applied Predictive Modeling features caret and over 40 other R packages. It is on sale at Amazon or the the publisher's website. There is a companion website too.
There is also a paper on caret in the Journal of Statistical Software. The example data can be obtained here(the predictors) and here (the outcomes).
There is a webinar for the package on Youtube that was organized and recorded by Ray DiGiacomo Jr for the Orange County R User Group.
At useR! 2014, I was interviewed and discussed the package and the book.
DataCamp has a beginner's tutorial on machine learning in R using caret.
You can always email me with questions,comments or suggestions.
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